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sample_and_group_all

Syntologyentry name in harvested coderead from the graph 2026-09-24

sample_and_group_all appears in the code Syntology harvested for 26 papers, as 7 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 2 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named sample_and_group_all do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 3 of the 7 distinct code bodies named sample_and_group_all; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
3ran · fixture could not drive it
0ran
4unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 26 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

26 papers shown of 26, newest first; 26 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 4 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation 12 Aug 2024 cszyzhang/RISurConv/models/risurconv_utils.py 5ff6e719b0d1ec24 unverified MIT (permissive)
FSC: Few-point Shape Completion 12 Mar 2024 xianzuwu/FSC/models/model_utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation 2024-02 (from id) ORCA-Uboat/RadarMOSEVE/models/MOS/model.py 851a7e1fdd8b809a ran · fixture could not drive it fingerprinted no licence file found · pointer only
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers 3 Jan 2024 easyry/cra-pcn/models/utils.py 225a2727f042aed0 ran · fixture could not drive it no licence file found · pointer only
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching 7 Dec 2023 junshengzhou/vp2p-match/models/pointTransformer/utils.py 225a2727f042aed0 ran · fixture could not drive it no licence file found · pointer only
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions 19 Sep 2023 roywangj/adaptpoint/openpoints/models_adaptpoint/point_discriminator.py 851a7e1fdd8b809a ran · fixture could not drive it fingerprinted MIT (permissive)
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator 17 Jul 2023 czvvd/svdformer/models/model_utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
Can point cloud networks learn statistical shape models of anatomies? 9 May 2023 jadie1/pointcompletionssm/models/SnowFlakeNet_utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers 11 Jan 2023 yuxumin/PoinTr/models/SnowFlakeNet_utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion 1 Dec 2022 ltwu6/cross-pcc/models/utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths 19 Feb 2022 diviswen/PMP-Net/models/utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer 10 Aug 2021 allenxiangx/snowflakenet/models/model_completion.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
Point Cloud Upsampling via Disentangled Refinement 9 Jun 2021 liruihui/Dis-PU/Common/pointnet_util.py 142a56400c483118 unverified Apache-2.0 (permissive)
RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud 26 Jun 2020 Salingo/RPM-Net/code/utils/pointnet_util.py 142a56400c483118 unverified MIT (permissive)
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss 6 Apr 2020 dgriffiths3/finding-your-center/pointnet2/pointnet_util.py 49345dd0c75de3e0 unverified MIT (permissive)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling 1 Mar 2020 yanx27/PointASNL/utils/pointnet_util.py 142a56400c483118 unverified MIT (permissive)
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds 4 Jun 2019 Yang7879/3D-BoNet/helper_pointnet2.py 502b56bb9e1700ac unverified MIT (permissive)
Path-Invariant Map Networks 31 Dec 2018 zaiweizhang/path_invariance_map_network/pointnet_util.py 142a56400c483118 unverified BSD-3-Clause (permissive)
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud 8 Dec 2018 ericyi/GSPN/utils/pointnet_util.py 142a56400c483118 unverified MIT (permissive)
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN 19 Nov 2018 voidrank/Geo-CNN/models/geoconv_util.py 142a56400c483118 unverified Apache-2.0 (permissive)
Local Spectral Graph Convolution for Point Set Feature Learning 15 Mar 2018 fate3439/LocalSpecGCN/utils/pointnet_util.py 142a56400c483118 unverified MIT (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 ECE685-FinalProject/3D-object-recognition/model/pointconv.py 5df806877e088158 ran · fixture could not drive it fingerprinted no licence file found · pointer only
arXiv:ijcai2025_0108 doldolOuO/IAET/models/utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
arXiv:aaai_6994 dlinzhao/JSNet/utils/pointnet_util.py 142a56400c483118 unverified MIT (permissive)
arXiv:aaai_32537 Yinghui-Li-New/DAPoinTr/models/SnowFlakeNet_utils.py 225a2727f042aed0 ran · fixture could not drive it MIT (permissive)
arXiv:Yuan_Learning_Normal_Flow_Directly_From_Events_ICCV_2025_paper dhyuan99/VecKM/experiments/classification/models/pointnet2_VecKM.py 851a7e1fdd8b809a ran · fixture could not drive it fingerprinted MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections